Traffic Sign Detection and Recognition Using YOLOv5 and Its Versions

Aaron Joaquin Lebumfacil; Patricia Angela Abu

doi:10.1109/CogMob55547.2022.10118112

Traffic Sign Detection and Recognition Using YOLOv5 and Its Versions

Aaron Joaquin Lebumfacil, Patricia Angela Abu

Department of Information Systems and Computer Science

Ateneo de Manila University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	2022 IEEE 1st International Conference on Cognitive Mobility, CogMob 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	11-18
Number of pages	8
ISBN (Electronic)	9781665476317
DOIs	https://doi.org/10.1109/CogMob55547.2022.10118112
State	Published - 2022
Event	1st IEEE International Conference on Cognitive Mobility, CogMob 2022 - Budapest, Hungary Duration: Oct 12 2022 → Oct 13 2022

Publication series

Name	2022 IEEE 1st International Conference on Cognitive Mobility, CogMob 2022

Conference

Conference	1st IEEE International Conference on Cognitive Mobility, CogMob 2022
Country/Territory	Hungary
City	Budapest
Period	10/12/22 → 10/13/22

ASJC Scopus Subject Areas

Computer Vision and Pattern Recognition
Automotive Engineering
Computational Mechanics
Electrical and Electronic Engineering
Mechanical Engineering
Safety, Risk, Reliability and Quality
Artificial Intelligence

Keywords

AI
Computer Vision
Machine and Deep Learning in Transport
Traffic Sign Detection and Recognition

Access to Document

10.1109/CogMob55547.2022.10118112

Cite this

Lebumfacil, A. J., & Abu, P. A. (2022). Traffic Sign Detection and Recognition Using YOLOv5 and Its Versions. In 2022 IEEE 1st International Conference on Cognitive Mobility, CogMob 2022 (pp. 11-18). (2022 IEEE 1st International Conference on Cognitive Mobility, CogMob 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CogMob55547.2022.10118112

Traffic Sign Detection and Recognition Using YOLOv5 and Its Versions. / Lebumfacil, Aaron Joaquin; Abu, Patricia Angela.
2022 IEEE 1st International Conference on Cognitive Mobility, CogMob 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 11-18 (2022 IEEE 1st International Conference on Cognitive Mobility, CogMob 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lebumfacil, AJ & Abu, PA 2022, Traffic Sign Detection and Recognition Using YOLOv5 and Its Versions. in 2022 IEEE 1st International Conference on Cognitive Mobility, CogMob 2022. 2022 IEEE 1st International Conference on Cognitive Mobility, CogMob 2022, Institute of Electrical and Electronics Engineers Inc., pp. 11-18, 1st IEEE International Conference on Cognitive Mobility, CogMob 2022, Budapest, Hungary, 10/12/22. https://doi.org/10.1109/CogMob55547.2022.10118112

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keywords = "AI, Computer Vision, Machine and Deep Learning in Transport, Traffic Sign Detection and Recognition",

author = "Lebumfacil, {Aaron Joaquin} and Abu, {Patricia Angela}",

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Traffic Sign Detection and Recognition Using YOLOv5 and Its Versions

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

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